Shroog Alshomrani^*, Muhammad Arif, Mohammed A. Al Ghamdi

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5717-5742, 2023, DOI:10.32604/cmc.2023.038059

Abstract Coronavirus has infected more than 753 million people, ranging in severity from one person to another, where more than six million infected people died worldwide. Computer-aided diagnostic (CAD) with artificial intelligence (AI) showed outstanding performance in effectively diagnosing this virus in real-time. Computed tomography is a complementary diagnostic tool to clarify the damage of COVID-19 in the lungs even before symptoms appear in patients. This paper conducts a systematic literature review of deep learning methods for classifying the segmentation of COVID-19 infection in the lungs. We used the methodology of systematic reviews and meta-analyses (PRISMA) flow method. This research aims… More >

HONG YANG^1,2, WAN LI^1,2, LIWEN REN^1,2, YIHUI YANG^1,2, YIZHI ZHANG^1,2, BINBIN GE^1,2, SHA LI^1,2, XIANGJIN ZHENG^1,2, JINYI LIU^1,2, SEN ZHANG^1,2, GUANHUA DU^1,2, BO TANG³, HONGQUAN WANG³, JINHUA WANG^1,2,*

Oncology Research, Vol.31, No.2, pp. 83-99, 2023, DOI:10.32604/or.2023.028905

Abstract Pancreatic cancer is a malignant disease characterized by low survival and high recurrence rate, whose patients are mostly at the stage of locally advanced or metastatic disease when first diagnosed. Early diagnosis is particularly important because prognostic/predictive markers help guide optimal individualized treatment regimens. So far, CA19-9 is the only biomarker for pancreatic cancer approved by the FDA, but its effectiveness is limited by low sensitivity and specificity. With recent advances in genomics, proteomics, metabolomics, and other analytical and sequencing technologies, the rapid acquisition and screening of biomarkers is now possible. Liquid biopsy also occupies a significant place due to… More > Graphic Abstract

Rohan Suresh Daniel^1,2, Georgia K. Schmidt^1,2, Hayato Nakanishi^1,2, Karen Smayra^1,2, Mariah N. Mascara^1,2, Dilip K. Vankayalapati^1,2, Reem H. Matar^1,2,3, Christian A. Than^1,2,4, George Shiakos⁵, Ioannis Tzanavaros^2,5,*

Congenital Heart Disease, Vol.18, No.2, pp. 245-265, 2023, DOI:10.32604/chd.2023.027596

Abstract Background: Persistent patent ductus arteriosus (pPDA) is a common condition in preterm infants. This meta-analysis aimed to assess the safety and efficacy of transcatheter closure (TC) when compared to surgical ligation (SL) in preterm infants with pPDA. Methods: A literature search of Ovid Cochrane Library, Medline, Embase, Epub, Scopus, PMC Preprints, and was conducted from inception to May 06, 2022. Eligible studies reported infants diagnosed with pPDA born at ≤2000 g birth weight or at ≤37 weeks’ who underwent TC or SL as treatment. This review was registered in PROSPERO (CRD42022325944). Results: From 97 studies screened, 8 studies met the… More >

Shuqin Zhang^1,#, Bin Zhang^2,#, Jianying Wu³, Jin Luo¹, Haomin Shi¹, Jirong Qi^3,4,*, Huilian Yang^1,5,*

Congenital Heart Disease, Vol.18, No.2, pp. 127-150, 2023, DOI:10.32604/chd.2023.025616

Abstract Objectives: To estimate the prevalence of Congenital Heart Disease (CHD) in school-age children, to identify the extent to which altitude affects the prevalence of the disease, and to examine trends in prevalence over time in China. Methods: Seven databases were systematically searched and last retrieved on September 10, 2021 for all studies reporting the prevalence of CHD in children after 1970 in China, which were then divided into high and low altitude regions based on 2500 meters above sea level. The random-effected model was used to combine prevalence data and subgroups analysis. The baseline data of all cases and individuals… More > Graphic Abstract

Maria Dahlberg^1,*, Johanna Nordmyr¹, Hrafnhildur Gunnarsdottir², Anna K. Forsman¹

International Journal of Mental Health Promotion, Vol.25, No.4, pp. 505-537, 2023, DOI:10.32604/ijmhp.2023.020833

Abstract The first years of life and the family context are key to the promotion and protection of children’s health and wellbeing, emphasizing the need for interventions aimed to support families with young children. This review aimed to explore the effectiveness of early childhood interventions developed for promoting mental health and parenting among families with young children in the Nordic countries. Six electronic databases were systematically searched, and 20 articles covering 16 studies applying various quantitative and qualitative methods met the study inclusion criteria. The studied interventions were assessed as universal health-promoting interventions and health-promoting interventions with elements of prevention. Outcomes… More >

Jing Wang, Shuanghu Fang^*

International Journal of Mental Health Promotion, Vol.25, No.4, pp. 433-448, 2023, DOI:10.32604/ijmhp.2023.025304

Abstract Objectives: This study reviewed published randomized controlled trials (RCTs) and evaluated the efficacy of internet-based acceptance and commitment therapy (IACT) on adolescent mental health. Methods: Searches were conducted in PubMed, ProQuest, APA (PsycNET/PsycINFO), and Web of Science from inception to January 2022 to identify RCTs evaluating the effects of IACT on adolescents. The included studies were assessed for quality and risk of bias. This study was performed using the standard mean difference and associated 95% confidence interval of effective measures. Review Manager 5.4 software was adopted to calculate the effect size. Results: Compared to adolescents in control groups, those in… More >

Batyrkhan Omarov^1,*, Sergazi Narynov², Zhandos Zhumanov²

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5105-5122, 2023, DOI:10.32604/cmc.2023.034655

Abstract Clinical applications of Artificial Intelligence (AI) for mental health care have experienced a meteoric rise in the past few years. AI-enabled chatbot software and applications have been administering significant medical treatments that were previously only available from experienced and competent healthcare professionals. Such initiatives, which range from “virtual psychiatrists” to “social robots” in mental health, strive to improve nursing performance and cost management, as well as meeting the mental health needs of vulnerable and underserved populations. Nevertheless, there is still a substantial gap between recent progress in AI mental health and the widespread use of these solutions by healthcare practitioners… More >

Emma Payne^1,2, Thomas Wilson^2,3, Marjan Haghighi^1,4, Zoe McCallum^2,3, Yves d’Udekem⁵, Julian Ayer^1,4,*

Congenital Heart Disease, Vol.17, No.6, pp. 617-639, 2022, DOI:10.32604/chd.2022.024775

Abstract Background: Patients born with a single ventricle circulation commonly experience growth failure in early life, which is associated with adverse outcomes in infancy. However, associations between bodyweight or weight trajectory and clinical outcome post-Fontan procedure are yet to be determined. Methods: On the 1st of July 2021, a systematic review was performed in MEDLINE, EMBASE, the Cochrane Library, and Scopus of studies of patients with clinical outcome data post-Fontan procedure and association with bodyweight. Quality of studies was evaluated by Newcastle–Ottawa scale for cohort studies and Joanna Briggs Institute tool for cross-sectional studies. Results: Of 527 studies that underwent title… More >

YINGHUI GAO, DENGTAI WEN^*, SHIJIE WANG, JINGFENG WANG

BIOCELL, Vol.47, No.1, pp. 41-49, 2023, DOI:10.32604/biocell.2022.022689

Abstract Presenilin (Psn) protein is associated with organismal aging. Mutations in the Psn gene may lead to Alzheimer’s disease (AD), dilated cardiomyopathy (DCM), and many age-dependent degenerative diseases. These diseases seriously affect the quality of life and longevity of the population and place a huge burden on health care and economic systems around the world. Humans have two types of Psn, presenilin-1 (PSEN1) and presenilin-2 (PSEN2). Mutations in the genes encoding PSEN1, PSEN2, and amyloid precursor protein (APP) have been identified as the major genetic causes of AD. Psn is a complex gene strongly influenced by genetic and environmental factors. The… More >

Lu Zhang¹, Jiarong Mao¹, Yuting An¹, Tianshuo Zhang¹, Jixin Ma², Chen Feng³, Xiaoyi Zhou^1,*

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1161-1181, 2023, DOI:10.32604/cmc.2023.032452

Abstract Government information sharing (GIS) refers to that act of required or provided for duty government information, commercial information and public welfare information, and it is a basic issue of government services. However, the existing GIS has low transparency and is lack of flexibility between different departments. Aiming at such problems, this paper takes blockchain as a solusion, and systematically summarizes the development of digital GIS, the advantages and challenges of blockchain and its theoretical research and practical applications. Specifically, it reviews e-government interactive structure, big data and other solutions, analyses their imperfections, and puts forward blockchain-based solutions. The blockchain improves… More >